Interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelMonitoringObjectiveConfig.ExplanationConfig, ModelMonitoringObjectiveConfig.ExplanationConfig.Builder
Enclosing class:
ModelMonitoringObjectiveConfig

public static interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • getEnableFeatureAttributes

      boolean getEnableFeatureAttributes()
       If want to analyze the Vertex Explainable AI feature attribute scores or
       not. If set to true, Vertex AI will log the feature attributions from
       explain response and do the skew/drift detection for them.
       
      bool enable_feature_attributes = 1;
      Returns:
      The enableFeatureAttributes.
    • hasExplanationBaseline

      boolean hasExplanationBaseline()
       Predictions generated by the BatchPredictionJob using baseline dataset.
       
      .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
      Returns:
      Whether the explanationBaseline field is set.
    • getExplanationBaseline

       Predictions generated by the BatchPredictionJob using baseline dataset.
       
      .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
      Returns:
      The explanationBaseline.
    • getExplanationBaselineOrBuilder

       Predictions generated by the BatchPredictionJob using baseline dataset.
       
      .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;